Bachelor Thesis Project (Advisor: prof. Rohit Sinha) -In-depth literature review and implementation of essential E2E ASR components: Connectionist Temporal Classification (CTC), Recurrent Neural Network Transducer (RNN-T), Attention based Encoder-Decoder Model, Raw Waveform input based CNN ASR systems. -The aim of this project is two-fold: 1)Understand/Interpret what the layers of the RNN/LSTM based encoder system are trying to learn so as to build more intuitive End-to-End ASR models 2)Build robust ASR systems for 'Low Resource' Indian Languages Keywords: End-to-End ASR, CTC, RNN-T, Attention based sequence models, Low-Resource ASR