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Phyllodes tumour is a rapidly growing neoplasm with a propensity to involve the entire breast tissue. In large tumours, the treatment comprises a wide local excision or a mastectomy. A woman in her 20s from rural India presented with complaints of a recurrent left breast lump. The lump progressed to a large size, limiting her social activities and causing depression. On examination, she had a mass occupying almost the entire left breast, with stretched skin, dilated veins and pressure necrosis. There were no palpable axillary nodes. She was offered a wide local excision and reconstruction with a latissimus dorsi pedicled flap. After much discussion and clarification of some misconceptions around breast reconstruction, she underwent the planned surgery. This was followed by adjuvant radiation therapy as the histopathology was consistent with a complex phyllodes tumour with close margins. She was well at 1-year follow-up and led a good family and social life. Breast conservation and reconstruction are seldom offered as part of cancer treatment in India. All women should be offered surgical options that are oncologically safe while preserving body image, and hence healthcare providers must work towards breaking the barriers that prevent breast reconstruction.

The use of three-dimensional printing in the engineering and medical fields is at a rapid pace. In stereolithography (SLA) process, selective curing of resin polymer in layer-by-layer format, a post-curing process is required to enhance the mechanical properties of printed parts, but there has not been adequate research on the effects of post-curing. In current investigation, effect of post-curing on compressive strength of 3D-printed objects with stereolithography technique is analyzed. The layer height, exposure time and hollow thickness are the significant parameters that are considered for this investigation. Layer height and hollow thickness have great impact on compressive strength of SLA objects. The highest compressive strength obtained while considering layer height as parameter is 42.44 MPa. Considering exposure time and hollow thickness as parameters, the highest compressive strength obtained is 39.07 and 42.46 MPa, respectively.

Bearings with rolling elements are a typical part of rotating machinery. Vibration analysis is one of them that is frequently used to gauge the general wellbeing and condition of rotating machinery. Finding bearing defects is important in the pursuit of extremely reliable operations. The main relationship between vibration signal-based features and measured signals is that they can be used in order to assess the condition of a bearing. In order to examine the effectiveness of non-parametric harmonic approaches for defect identification using real motor data, the study recommends utilizing Thomson's Multitaper Estimation and Welch Periodogram Estimation. The researches show that this approach can identify outer race faults and inner race fault. The conclusive evidence points to Thomson's Multitaper Periodogram Estimation method as a successful technique for bearing fault identification.

Agriculture plays a crucial role in India’s economy, supporting the livelihoods of 58 percent of the population and contributing 17-18 percent of the GDP. However, plant pests anddiseases pose significant challenges, leading to biotic stress that hampers yield potential and diminishes the quality and quantity of food. Safeguarding crops against diseases is imperative to meet the increasing food demand. Globally, the losses caused by pathogens, pests, and weeds account for 20-40 percent of agricultural productivity. The detection of diseases in cultivated plants is a vital and complex task in agricultural practices. Conventional methods of disease detection and classification are time-consuming and labor-intensive, making it difficult to find optimized solutions. This issue is particularly problematic as farmers and professionals in developing countries require efficient methods to monitor and identify diseases affecting their crops. The implementation of program-based identification for plant diseases offers advantages such as improved detection, reduced human effort, and time savings. In this article, a smart and efficient technique is proposed to detect and classify plant diseases with higher accuracy than existing methods. The pro- posed technique employs Convolutional Neural Networks (CNNs)and focuses on leaf diseases as the main area of interest.

The aim of this project is to recognize human actions for monitoring and security purposes. This project is mainly focused on building a system that is helpful for doctors to monitor patients .Human Action Recognition is required to recognize a set of human activities by training a supervised learning model and displaying the activity/action result as per the input action received. It has wide range of applications such as patient monitoring system, ATM/ Bank security system, etc. Human Action Recognition model can be mainly used for security and monitoring purposes. We can use various machine learning and deep learning algorithms for this project . One of the best approach is using CNN .

In the present scenario, power becomes a major need for human life. Due to the day-to-day increase in population and lessening of conventional sources, it becomes necessary that we must depend on non-conventional sources for power generation. While moving, the vehicles possess some kinetic energy and it is being wasted. This kinetic energy can be utilized to produce power by using a special arrangement called “POWER HUMP”. The Kinetic energy of moving vehicles can be converted into mechanical energy of the shaft through the rack and pinion mechanism. This shaft is connected to the electric dynamo and it produces electrical energy proportional to traffic density. All these mechanisms can be housed under the dome-like speed breaker, which is called a hump. The generated power can be used for general purposes like streetlights, and traffic signals. The electrical output can be improved by arranging these power humps in series this generated power can be amplified and stored by using different electric devices. The maintenance cost of the hump is almost nullified. By adopting this arrangement, we can satisfy future demands to some extent

Virtual try-on systems have become increasingly popular in the e-commerce industry, allowingcustomers to virtually try on clothes and accessories before making a purchase. However, current virtual fitting methods often suffer from pixel disruption and low resolution, leading to unrealistic try-on images. To solve this problem, we propose a Parser Free Appearance Flow Network (PFAFN) methodology that generates try-on images by simultaneously warping clothes and generating segmentation maps while exchanging information. Our experimental results show that PFAFN outperforms existing methods at a resolution of 192 x 256. The proposed virtual try-on system was implemented using Python and TensorFlow. The system's testing and validation were alsodiscussed. Our research contributes to the development of more realistic virtual try-on systems that could enhance customer experience and satisfaction in the e-commerce industry

Efficient uninterrupted curing is a key to quality concrete. Proper curing of concrete is crucial to obtain design strength and maximum durability considering the cost of curing. Curing is designed primarily to keep the concrete moist, by preventing the loss of moisture from the concrete during the period in which it gains strength. Due to rising problem of scarcity of water and expensive conventional methods of curing, it had become necessary to build-up a new method for concrete curing. This paper represents the experimental work related to a newly developed, effective and economical method of beam curing. This method consists of a technology namely ‘Curing Pad’ that not only absorbs and retains water for an extended period of time but also reduces evaporation losses. Concrete pad consists of 3 layers. The top layer is of a reflector material that reduces evaporation losses. The middle layer comprises of an absorbent material that stores and transmits water to the concrete beam. Bottom layer is binding or packing layer that holds all three layers together. Various tests are performed to check the durability of Curing Pad as well as its performance on concrete beam. These test results are compared to those of ponding method of beam curing.

This paper proposes a virtual try-on system forapparel shopping that generates high-resolution virtualization without pixel disruption. The system employs a Parser Free Appearance Flow Network, which simultaneously warps clothes and generates segmentation while exchanging information. The proposed methodologyoutperforms existing virtual fitting methods at 192 x 256 resolution, as demonstrated by the Fréchet inception distance (FID) performance metric. The system's technical specifications, software and hardware requirements, and user interface design are presented in detail. The proposed methodology achieves realistic try-on images and high- quality virtual try-on images in real-time. Future research areas include the incorporation of personalized measurements and the development of more accurate bodymodels.

Inattention is one of the major factors and causes of many road accidents and unforeseen crashes. As a result, it is vital to develop an automatic warning system for drivers, which will send timely warning signals to them. Based on the driver's facial expressions, this issue involves determining the driver's mental state. In applications such as driver warning systems, automated facial emotion recognition has become a recent development in the image processing world. There are existing methods for recognizing facial emotions regardless of whether the signal is noisy or imperfect data, but ultimately it lacks accuracy. It is also useless and not getting proper output in dealing with spontaneous feeling, and recognition. The proposed approach develops a driver warning system that extracts the facial expressions based on a novel efficient Local Octal Pattern (LOP) and effectively recognizes the facial expressions based on Deep Neural Networks, Convolutional Neural Networks (CNN). The LOP feature map provides as an input to CNN and guides in the selection of CNN learning data thereby improving and further enhancing the understanding and learning of CNN. It also has an ability to recognize both natural and spontaneous feeling, considered input as a image as well as video. The experimental results considering YawDD dataset indicates that the proposed system has been efficiently evaluated by considering the with metrics such as Precision, Recall and F-Score and thereby it is observed and inferred that the proposed system obtained a high recall rate of 96.09% in comparison with the other state-of-the-art methods

Background: Dermatophytosis is a common fungal infection in India, with prevalence ranging from 36.6% to 78.4%. Treatment options include topical and systemic antifungal agents such as amphotericin B, clotrimazole, miconazole, luliconazole, itraconazole, and terbinafine. With the availability of newer antifungal drugs, a drug utilization study is necessary to understand prescription patterns and promote rational use. Methods: This is a retrospective observational study conducted among the patients attending outpatient department of dermatology of Indira Gandhi Government Medical College and Mayo Hospital. Prescription of patients with diagnosis of tinea were collected using efficient digital database. These prescriptions were then analysed depending on their demographic profile, treatment and then results were evaluated with the help of MS Excel and results presented as percentage and proportion. Results: Total 3701 patients had tinea with 1658 females and 2043 males with majority of patients from 16 to 30 years of age. 81% medicine were prescribed using brand names with prescription containing maximum antifungal drugs followed by antihistaminic drugs. Most common drug prescribed was terbinafine (29%), followed by luliconazole (27.46%) and itraconazole (17%). Most commonly topical antifungal agents were prescribed as cream (35.80%) followed by as lotion (26.26%). Conclusions: Drug utilisation pattern study like this is very important for studying the varying prescription pattern in treatment of dermatophytosis and to make a first step towards uniform and rational drug prescription.

In this paper comparison of Discrete Wavelet and Discrete Cosine Transform for contrast enhancement of gray image is discussed and implemented using proposed mask. The technique converts the image into DCT domain and the DCT coefficients are modified using proposed mask then the enhanced image is reconstructed using inverse DCT. After comparing enhancement based on DCT with enhancement based on wavelet transform I found that the discrete cosine transform outperforms with better image quality and with highest PSNR value.

The Wireless Voice Control Robotic Car project is a system used for security purposes. Although many wireless-controlled robots use RF modules, this project utilizes an Android smartphone for robotic control, with more control commands available compared to RF modules. To use this project, the user must install an application on their mobile device and turn on Bluetooth. Various commands, such as "go ahead," "get back," "turn left," "turn right," "stop," "break," and "show me your dance" are available. While the Robotic Car is in action, the user can watch a live video feed from the camera installed on it. In order to successfully connect to the live feed, users must configure their system with a username and password. Successful authentication is necessary to ensure that the data remains confidential. Once authentication and configuration are complete, the user has several options for camera settings

Lignocellulosic biomass abundantly and ubiquitously occupies the earth. However, their complex molecular structure prevents their use as a source of organic material for fermentable sugars and nutrients to be used as foods, fertilizers and biofuels. For an efficient carbon cycle, microbial enzymes play a key role in slow biodegradation of lignocellulosic wastes in nature. Microbiological applications can enhance the rate of biodegradation to utilize agro-industrial and organic municipal solid wastes, containing up to 50% lignocellulose substrates, as an inexpensive and sustainable source of plant nutrients. With this hypothesis, the current study was carried out to prepare a consortium of lignocellulose degrading bacteria and use it to convert lignocellulosic substrates in garden, sugarcane, rice, cotton and fruit waste into biofertilizer. Overall, 7-14% reduction in cellulose and 3-6% reduction in lignin content, along with decrease in pH was observed on treatment of above wastes with microbial consortium in 42 days. In spite of the low conversion rates observed in our study, better root, shoot as well as leaf development was observed in moong seedlings grown in soil amended with biofertilizer (3:1 ratio) as compared to controls. Another interesting observation was the biofertilizers with low pH prepared from sugarcane wastes (pH 3.1) and fruit wastes (pH 3.6) supported plant growth more efficiently as compared to other biofertilizers (pH 5.0 to 5.7). Thus, in addition to feasible conversion of lignocellulosic wastes into biofertilizer, our study further suggests the use of selective wastes as raw material depending on the preference of plants for slightly acidic to neutral soil pH for growth.

These days, PC vision has advanced to where a PC can perceive its client utilizing an essential picture handling calculation. Individuals are involving this vision in many pieces of day to day existence as of now of improvement, like face acknowledgment, variety identification, programmed vehicles, etc. PC vision is utilized in this examination to make an optical mouse and console that utilizations hand movements. The PC's camera will filter the picture of different developments made by an individual's hand, and the mouse or pointer will move in light of the development of the motions, including doing well and left clicks utilizing particular signals. Essentially, unique motions can be utilized to control the console, for example, a one-finger signal to pick a letters in order and a four figure signal to swipe left and right. Without any wires or different gadgets, it will work as a virtual mouse and console. The venture's just piece of equipment is a webcam, and the coding is finished in Python utilizing the Boa constrictor stage. The Raised body absconds are made first, and afterward a calculation is made by planning the mouse and console capabilities to the blemishes utilizing the imperfection computations. On the off chance that you map ping several them with the mouse and console, the PC will perceive the motion and answer fittingly

High performance thin layer chromatography (HPTLC) and Ultra-High-Performance Liquid Chromatography (UHPLC) techniques were developed and validated to quantify Withanolide in extract and formulation. On Al-backed silica gel 60 F254 TLC plates (10 cm × 10 cm, layer thickness 0.2 mm), which had been prewashed with methanol, HPTLC separation was carried out. Dichloromethane: Methanol: Toluene: Acetone in various ratios produced good separation in mobile phase (5:1:1:0.5 v/v). Camag TLC scanner densitometric scanning at 365 nm determined and quantified. This approach produced compact Withanolide spots at Rf 0.48. ICH guidelines verified HPTLC's precision, reproducibility, and accuracy. Withanolide linearity was 500-3000 ng/spot with R2= 0.9994. LOD & LOQ were found to be 9.48 & 28.73 ng respectively. For UHPLC, Cosmosil C18 was used with acetonitrile: water (0.2 % OPA) (70:30, v/v) mobile phase. Flow rate was 1.5 mL/min. Under optimal chromatographic conditions, Withanolide was retained for 5.9 min and detected at 254 nm. ICH guidelines verified UHPLC's precision, repeatability, and accuracy. Withanolide linearity was 10-60 μg/mL with R2= 0.9994. LOD along with LOQ were 0.411 and 1.245 μg. HPTLC and UHPLC procedures utilized for regular quality control and quick screening of active components from plant extracts.

An investigation of the onset of chemically driven convective instabilities in binary nanofluids has been carried out under the influence of thermodiffusion and nanoparticles. In order to investigate the convective instabilities, the Tiwari-Das nanofluid model is used and the thermal Rayleigh number is derived using linear stability analysis. The effect of nondimensional parameters involved in the study is illustrated graphically. It is found that volume fraction of nanoparticles, Soret effects of nanoparticles and solute destabilize the system and Lewis number stabilizes the system. The heat of chemical reaction parameter performs a dual consequence on the stability. It has stabilizing effect for its negative values and destabilizing effect for its non-negative values. The strength of chemical reaction is also discussed. It is reported that the chemical reaction is fast when the system is heated from below and it is slow when the system is heated from above. Water-ethylene glycol based silver and cupric oxide pseudoplastic non-Newtonian binary nanofluids are considered and the impact of nanoparticles is analyzed through addition factors. The binary nanofluids convection driven by chemical reaction has a great importance in absorption based industrial applications such as refrigeration, air conditioning, automobiles, biomedical engineering, solar collectors and falling film.

As many students are confused about their future career field, they are unable to decide their career path either because of a lack of information or misconceptions. At the age of 18, students do not have adequate knowledge to correctly understand which is the right professional path. As we grow, we recognize that each student has doubts about what to pursue after 12th grade.

Background: Achieving a predictable degree of quality with intended and planned specifications is known as "quality by design." QbD (Quality-by-Design) is an alternative to conventional method development that places more attention on identifying and mitigating potential risks. Component of the Quality-by-Design methodology involves conducting a series of experiments to learn how various factors, including the dependant variables, affect the answers of interest. Here, we use a QbD (Quality-by-Design) loom to detail the creation and verification of a stability-indicating high-performance liquid chromatography (HPLC) method for Fostemsavir in both bulk and finished-goods forms. Results: In this work, we present a workable experimental design for optimising the RP-HPLC separation technique by identifying the optimum mobile phase concentration and flow rate. Below are the ideal chromatographic conditions as calculated by Design Expert version 13.0: Mobile phase: 80 parts acetonitrile to 20 parts formic acid (v/v), flow rate: 0.8 millilitres per minute, retention time: 3.24 minutes, column dimensions: GIST C18 (250 mm × 4.6 mm × 5.0 μm). Here we propose a practical experimental layout for determining the optimal mobile phase concentration and flow rate for the RP-HPLC separation technique. Using Design Expert version 13.0, the optimum chromatographic conditions were determined to be as follows: Shim-pack GIST C18 (250 mm 4.6 mm, 5.0 μ), mobile phase acetonitrile to 1% formic acid (80:20, v/v), flow rate 0.8 ml/min, and retention period 3.24 min. At a detection wavelength of 266 nm, it was discovered that the devised technique was linear over a concentration range of 50-90 μg/ml (r2 = 0.997). Test parameters for the system's appropriateness were determined to be 1.124 for the tailing factor and 9480 for the theoretical plates. Intraday RSD was found to range from 0.70 to 0.94, whereas interday RSD was found to range from 0.55 to 0.95 percent. Values for robustness were under 2%. The solution stability % RSD was calculated to be 0.83. The result of the assay was 100.05 percent. The created methodologies were used to studies of forced degradation, and the stressed materials were analysed. The parameters used to validate the procedure fell within the acceptable range recommended by ICH. Conclusion: Using Design Expert 13.0, we created a central composite design experiment that illustrates the relationships between mobile phase and flow rate across three levels, with retention duration, tailing factor, as well as theoretical plates as the responses of interest. By this work, we gain insight into the variables that affect chromatographic separation and strengthen our conviction that the HPLC method we've devised will serve our needs. Quantitative method development was applied to improve comprehension of multi-tiered method variables.

The project to develop the web-application to maintain the day-to-day activities of the employee with the help of virtual technology to avoid data storage problem. To develop the software keeps record of the daily time-sheets of an employee in virtual form also to solve the problem of paper timesheet that is used for keeping record of employee’s daily tasks. Also, the webapplication which will help to manage different HR-Activities. As much as technology is getting advanced most of the companies are started using virtual applications to manage their HR-Activates as well as for Timesheets. To keep track of daily task it is important to provide a Web-Application that can store the information about tasks, HR Activities. However, in order to protect the data privacy, sensitive data is usually encrypted before outsourcing to cloud server, which makes it more secure.

In the current situation, we frequently observe that the trash cans or dust cans that are located in public spaces in cities are overflowing due to an increase in the amount of waste produced each day. We propose to construct a "Smart Waste Management System utilising IoT" to prevent this because it leads to unclean conditions for people and produces a terrible stench in the surrounding area, which spreads some deadly diseases & human illness. In the proposed system, there are numerous trash cans scattered throughout the city or campus. Each trash can has a low-cost embedded device that tracks the level of the trash cans, and each one will also have a unique ID that makes it simple to determine which trash can is full. The device will broadcast the level and the supplied unique ID when the level hits the threshold limit. The concerned authorities can view these facts online from their location and take fast action to clean the trash cans.

The main idea behind this project is to develop a system that can detect the drowsiness of the driver and issue a timely warning. Driver Fatigue is the main reason for a large number of road accidents. The detection can be done in many different ways and by using different parameters. The proposed system uses the behavior of parameters. Our proposed method can distinguish the simulated drowsy and sleepy states from the normal state of driving on the resolution images of faces and eyes observed from an oblique viewing angle. This system treats the automatic detection of the driver's drowsiness based on visual information and artificial intelligence.

Every day, countless videos are being created and shared on YouTube. and Such videos are the primary source of learning for college and school going students, people preparing for competitive exams and many more people use YouTube for productive outcomes. But longer than expected videos can be difficult to watch, and if we don't learn anything useful from them, our efforts might be in vain. Even sometimes while watching video people face lots of obstacles like network issues and all may lead to wastage of time. Automated summarization of video text allows us to quickly spot important trends and efficiently streamline the video's content, thus saving our time and efforts. In this YouTube transcript summarizer web application developed using flask, the transcript of the video is converted into text and thus summarizing that text and in case if there is no transcript available then the model will convert the audio directly into text using speech recognition followed by the summarization. Summary can be downloaded and translate in different language. Summarization of the video is done by using Python libraries and NLP (Natural Language Processing).

The area of mobile technology opens the windows to the android app. It is time to change from the standard websites to the app, which has become part of our daily routine. We are introducing GMVIT.apk the android application software which would be the miniature of our college website. The server allows the faculty to pass the data and the students can download the required documents through the android device. This project is performed for the sake of reducing efforts between both the students and the faculty.

Drowsy driving is a serious issue that causes a lot of accidents on the road all around the world. Due to the driver's inability to stay awake while driving, many accidents happen. The existing techniques utilised to do so are ineffective, and it is difficult to spot drowsy drivers. So, in order to prevent accidents, there is a need for a gadget that can recognise driver drowsiness in real-time and inform the driver. The design and development of a driver's anti-sleep device employing a Node MCU, an IR sensor, a gyroscope, and a buzzer are presented in this work. The proposed device can detect the driver's drowsiness level by analysing the driver's eye blinking pattern and body posture. The device triggers the buzzer to alert the driver in real-time, preventing a potential accident due to driver drowsiness. The device's importance lies in the fact that it can save lives and prevent injuries caused by drowsy driving. It is a cost-effective solution for detecting driver drowsiness and can be integrated into all types of vehicles. The device's real-time monitoring and detection system can significantly reduce the number of accidents caused by driver drowsiness. Furthermore, the proposed device is user-friendly and can be easily installed in any vehicle. It is portable and can be carried from one vehicle to another. The device can also be customized according to the driver's specific needs, making it highly adaptable and versatile. Overall, the proposed Driver's Anti-Sleep Device using Node MCU, IR Sensor, Gyroscope, and Buzzer is a highly efficient, cost-effective, and user-friendly solution for detecting driver drowsiness in real-time. The device has significant potential to reduce the number of accidents caused by drowsy driving and enhance road safety.

From the recent years, robotics has turned outto be an ingredient over which many people had showntheir interest. Robotics has gained popularity due to theadvancement of many technologies of computing and nano technologies. So, we have decided to design something that can make humans life easier and comfortable. There are many possibilities a fire can start in an industry or in any remote area. For example, in cotton mills, garments, fuel storages, etc., electric leakages can lead to huge damage. Fire incident is a disaster thatcan potentially cause the loss of life, property damage and permanent disability to the affected victim. Fire fighters often exposed to higher risks. With the advent of technology, humans are replaced with robots in life-threatening situations. We aim to design a robot capableof detecting fire and smoke. By designing andimplementing a security robot capable of detecting fire,disasters can be avoided with minimal risk to human life

Acetaminophen (paracetamol) has been classified as one of the emerging organic pollutants due to its entrance into the water bodies. Removal of pharma micropollutants using microorganisms or synthetic systems from the environment is desirable. In this study, acetaminophen degrading microorganism was isolated from Pharmaceutical industrial wastewater. Identification of the isolate was carried out using morphological, biochemical, and 16s rRNA sequencing. Bacillus subtilis subsp. subtilis NCIB 3610(T) showed 73.2% degradation of paracetamol (2500 ppm) based on colorimetric and reverse phase high performance liquid chromatography analysis. Based on the Computer Assisted Kinetic Evaluation (CAKE) program, it can be concluded that the strain exhibits Simple first -order model (SFO). The degradative product was identified as 4-aminophenol based on High Resolution Mass Spectrometry method. The chemotaxis assay reported that the strain understudy was found to be suitable for the bioaugmentation purposes.

It is a web-application developed by using ReactJS, in this application we can see the cryptocurrency live stats and all the cryptocurrency market cap, We can also see the change of price in last 24 hours. This app can convert the change into graphical representation it will also tell the ranking of each cryptocurrency according to their price. The Cryptocurrency tracker is a cross platform application, which tracks the crypto currency. The app is developed using Vscode, ReactJs, Git, Coingecko, and News data.dev. firebase cryptocurrency flutter fire base authfigma fire store cryptocurrency-tracker coingecko-api. Cryptocurrency is a digital payment system that doesn't rely on banks to verify transactions. It’s a peer-to-peer system that can enable anyone anywhere to send and receive payments. Instead of being physical money carried around and exchanged in the real world, cryptocurrency payments exist purely as digital entries to an online database describing specific transactions. When you transfer cryptocurrency funds, the transactions are recorded in a public ledger. Cryptocurrency is stored in digital wallets. Cryptocurrency received its name because it uses encryption to verify transactions. This means advanced coding is involved in storing and transmitting cryptocurrency data between wallets and to public ledgers. The aim of encryption is to provide security and safety. The first cryptocurrency was Bitcoin, which was founded in 2009 and remains the best known today. Much of the interest in cryptocurrencies is to trade for profit, with speculators at times driving prices skyward

Precision agriculture is a farming method that uses technology to optimize crop production and improve efficiency. Precision agriculture aims to minimize waste and reduce environmental impact by using data analysis, satellite imagery, and other tools to identify and address crop-specific needs. In recent years, precision agriculture technology has seen significant advancements, resulting in the development of precision agriculture apps that allow farmers to monitor and manage their crops remotely.

Indian agriculture is diverse ranging from impoverished farm villages to developed farms utilizing modern agricultural technologies. Promoting application of modern information technology in agriculture will solve a series of problems facing by farmers. This system provides an intelligent monitoring platform framework and system structure to facilitate agriculture’s ecosystem based on IOT. This will be a Catalyst for the Transition from Traditional Farming to Modern Farming. This also provides opportunity for creating new technology and service development in IOT (Internet of things) farming application. In INDIA, the population has tripled, but food grain production had more than quadrupled, thus as there has been a substantial increase in available food grain per capita. Modern agriculture practices have a great promise for the economic development of a nation. So we have brought-in this innovative project for the welfare of Farmers and also for the Best Quality of Crops. There are no such restrictions of Day and Night in our project. Using this Project, Farming can be done at any time.

A donation system using blockchain technology can revolutionize the way donations are made and managed for various causes, including child adoption, fund distribution, stationary and food donation, and blood donation. This system can increase transparency, accountability, and trust between donors and recipients, as all transactions are recorded on an immutable blockchain ledger. The system can be implemented by creating a smart contract that specifies the terms and conditions of the donation system, including the types of donations accepted, the criteria for eligibility, and the process of distributing funds. Donors can use a digital wallet to store their cryptocurrency donations, which can be seamlessly integrated with the smart contract to ensure secure and transparent transactions. The system can also be used to verify the eligibility of recipients, preventing fraud and ensuring that donations go to the intended recipients. The smart contract can automatically distribute funds to eligible recipients based on the criteria specified in the contract.By implementing a donation system using blockchain technology, donors can trust that their contributions are making a real impact, and recipients can have greater access to resources for their needs. This system has the potential to bring greater transparency and fairness to the donation process, ultimately benefiting the causes and individuals in need.

In our society, a countless number of children are missing every-day. Even though missing cases are getting filed against them in nearby police stations but it is complicated to trace them through investigation as it requires lot of efforts and it is time consuming also it becomes quite challenging for police to find them and it’s really getting impossible to find them in most cases. So to make it convenient we planned to design a website for “Tracking the missing child using Face Recognition ”, which makes the task quite simpler. The main intention of this project is to reunite the missing children with their parents, so we are going to design a web page where one can be able to upload the missing child details and store it in database. If the child who is missing is identified on road by any random person, then he/she will upload the photo of that child on web page then our system can be able to detect that lost child using face recognition algorithms. Whenever the system confirms the matching then it will set up custom alerts along with location and send them directly to family members and concerned investigation officers . And if the match is not found , then the person will be provided with the option of registering child photo as a new entry to our database with the location they found. So, in this way we can find the lost children in more easy and convenient way. In this model, an automated facial recognition system for Missing Child database was proposed using known Haar feature-based cascade classifier. This system will be able to detect face and recognize face automatically in real time. In our model we are going to use Face Recognition module of python.

A simple and efficient method for the quantification of rifampicin, isoniazid and pyrazinamide in a fixed dose combination of anti-tuberculosis drug product was developed and validated by using HPLC system. The separation of rifampicin, isoniazid and pyrazinamide was carried out on a Waters 2690, composed of a quaternary pump, autosampler and PDA detector by chromatographic technique. Empower 3 software was used for data acquisition and analysis. Optimization of chromatographic separations was achieved using Phenomenex curosil-pfp column (250 × 4.6 mm, 5 μm particle size), with gradient program using disodium hydrogen phosphate and sodium 1- octane sulfonate buffer solution (pH adjusted to 7.0) as mobile phase A and acetonitrile (100%) as mobile phase B at a flow rate of 0.8 mL/min and UV detection at 238 nm. Approximate relative retention times of isoniazid, pyrazinamide and rifampicin were found to be 0.89, 1.00 and 2.63 respectively.

The uses of the internet have improved drastically for online communication and working from home. Data sharing and integration of global information bring network security risks. To protect private data and information, network security is becoming a very important research topic. An intrusion detection system is generally used as safe operational tool. It excellently detects and prevents intruders in a network by issuing a warning before the attack is launched in a network. An ensemble technique is extensively used to employ intrusion detection systems. In this paper, the stacking method of the ensemble has been proposed for the intrusion detection system. Three base classifiers have been stacked using the Meta classifier. Multilayer Perceptron, Ripple Down Rule learner, and RepTree Decision Tree have been used as Base Classifiers. These Base Classifiers are stacked using Logistic Regression with ridge estimator Meta Classifier. These learners have been trained and tested using the NSL dataset. A genetic algorithm has been applied for choosing relevant and most corrected features which helped in reducing the dimension of the dataset. Experimental results demonstrate that the proposed stacked classifier gives accuracies of 79.36%, 99.72%, and 99.64% on a test, train dataset, and cross-validation respectively. It is observed that the proposed stacked classifiers do better than existing hybrid intrusion detection systems.

The amount of information produced by today's digital age is immense, and a major amount of it is available publicly, meaning that anybody can access it at any time, from anywhere on the Internet. In this way, Open-Source Intelligence (OSINT) is a branch of intelligence that gathers, analyses, and combines information from multiple sources across the entire cyberspace to provide information. In fact, because of recent technological developments, OSINT is receiving greater attention at an incredible rate, providing all the relevant information that eventually helps organizations or even individuals fight against cyber threats and cybercrime. This paper's objective is to outline the most recent advancements in OSINT technologies, which are now addressing data breaches and dispersed organizational responsibilities. We are building a web application that collects and processes publicly available information in an effective and efficient manner for providing insight into possible data leaks, vulnerability or any other sensitive Information using OSINT Framework.

In this paper we investigate the effect of gravity modulation and rotation on thermal instability in a horizontal layer of a nanofluid. Finite amplitudes have been derived using the minimal Fourier series expressions of physical variables in the presence of modulation and slow time. Here we incorporates the layer of nanofluid with effect of Brownian motion along with thermophoresis. Heat and mass transfer are evaluated in terms of finite amplitudes and calculated by Nusselt numbers for fluid and concentration. It is found that, gravity modulation and rotation can be used effectively to regulate heat and mass transfer. This modulation can be easily felt by shaking the layer vertically with sinusoidal manner. The numerical results are obtained for amplitude of modulation and presented graphically. It is found that rotation and frequency of modulation delays the rate of heat and mass transfer. This shows that a stabilizing nature of gravity modulation and rotation against a non rotating system. A comparison made between modulated and unmodulated and found that modulated system influence the stability problem than un modulated system. Similarly modulated system transfer more heat mass transfer than unmodulated case. Finally we have drawn streamlines and nanoparticle isotherms to show the convective phenomenon.

bstract: Chatbots, also called chatterbots, is a form of artificial intelligence (AI) that simulates text or voice commands and give answers accordingly. It is a computer application uses voice instructions, text dialogues, or both to mimic human communication. In order to reduce the problem of information overload, which has created a possible problem for many Internet users, it is necessary to filter, prioritize, and efficiently distribute essential information on the Internet, where the quantity of options is overwhelming. A chatbot can be employed to communicate with end users, respond to their questions, comprehend their feelings, and make suggestions that are relevant. The objective of our project is to build a chatbot that allows the user to interact with it and get movies or songs recommendation of his liking/choice. Our proposed system is a single page website which can be run on user's desktop as well as mobile and its main focus is to accurately comprehend the user's question in text or voice format and respond to the user with relevant responses. We used Natural Language Processing (NLP) to convert the human conversation in text or voice format into data that is decrypted using recurrent text and patterns and then shaped into automated answers and responses. In recommendation model, Content based filtering is used which works on the data that we take from the user. The system will suggest various movies or songs based on the user's interests, and the result will be shown to the user.